TSSer: an automated method to identify transcription start sites in prokaryotic genomes from differential RNA sequencing data
Author(s) -
Hadi Jorjani,
Mihaela Zavolan
Publication year - 2013
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btt752
Subject(s) - annotation , genome , computer science , computational biology , identification (biology) , gene , rna seq , inference , transcription (linguistics) , biology , genetics , artificial intelligence , gene expression , transcriptome , linguistics , botany , philosophy
Accurate identification of transcription start sites (TSSs) is an essential step in the analysis of transcription regulatory networks. In higher eukaryotes, the capped analysis of gene expression technology enabled comprehensive annotation of TSSs in genomes such as those of mice and humans. In bacteria, an equivalent approach, termed differential RNA sequencing (dRNA-seq), has recently been proposed, but the application of this approach to a large number of genomes is hindered by the paucity of computational analysis methods. With few exceptions, when the method has been used, annotation of TSSs has been largely done manually.
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